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by ak92501 on 2021-05-28 (UTC).

Drawing Multiple Augmentation Samples Per Image
During Training Efficiently Decreases Test Error
pdf: https://t.co/zwS8DT9Km0
abs: https://t.co/8xxFUi2nay

ImageNet SOTA of 86.8% top-1 accuracy after just 34 epochs of training with an NFNet-F5 using the SAM optimizer pic.twitter.com/AhDVnLSef4

— AK (@ak92501) May 28, 2021
researchcv
by ak92501 on 2021-05-28 (UTC).

CogView: Mastering Text-to-Image Generation via Transformers
pdf: https://t.co/SOIqFhHleW
abs: https://t.co/nmhinD6kXK
demo: https://t.co/QULIeN628P

a 4-billion-parameter Transformer with VQ-VAE tokenizer, achieves a new SOTA FID on blurred MS COCO pic.twitter.com/hvXheo5cYP

— AK (@ak92501) May 28, 2021
researchcvnlp
by TensorFlow on 2021-05-27 (UTC).

🌲 Introducing TensorFlow Decision Forests, a new library you can use to train popular models like Random Forests and Gradient Boosted Trees easily with Keras.

Learn more → https://t.co/corTG7WLDT pic.twitter.com/Ut26dl4bDX

— TensorFlow (@TensorFlow) May 27, 2021
tensorflowtool
by chrisalbon on 2021-05-27 (UTC).

One of the most frustrating parts of interviewing as a data scientist is that hiring managers have wildly different expectations for the skillset.

Some want a BI analyst, some want a scientist, some want an MLE etc.

I wish "data scientist" would title-split into sub-categories. https://t.co/F1TIe9irE3

— ChrisAlbon.com (@chrisalbon) May 27, 2021
thought
by beeonaposy on 2021-05-27 (UTC).

Calculating standard deviation is a great way to see the variability in a dataset. If you have the means, I highly recommend it.

— Caitlin Hudon 👩‍💻 (@beeonaposy) May 27, 2021
tipmisc
by chrmanning on 2021-05-26 (UTC).

Despite all the media, academic, and societal interest in AI Ethics—and the clear gaps in what companies are currently doing—this FICO Responsible AI report suggests AI Ethics isn’t a priority for executives at 3/4 of companies: https://t.co/Phl8M907mP pic.twitter.com/zKnLwfUSi2

— Christopher Manning (@chrmanning) May 26, 2021
miscethics
by GoogleAI on 2021-05-26 (UTC).

Introducing a simple one-stage approach for automated text-to-image generation that achieves state-of-the-art performance on #LocalizedNarratives using only image-text pairs — no segmentation or bounding box data needed. Learn how it’s done below: https://t.co/SPMbJaVvAN

— Google AI (@GoogleAI) May 26, 2021
researchcvnlp
by flowingdata on 2021-05-26 (UTC).

People with certain jobs tend to marry others with some other job. Here are the jobs that tend to marry together the mostest. https://t.co/gjqHO3ytZ3 pic.twitter.com/FQ0xzdsL90

— Nathan Yau (@flowingdata) May 26, 2021
datavizdataset
by ak92501 on 2021-05-26 (UTC).

High-Frequency aware Perceptual Image Enhancement
pdf: https://t.co/1XZkAYnzrT
abs: https://t.co/sevT4gbmwu pic.twitter.com/zumPyikSzP

— AK (@ak92501) May 26, 2021
researchcv
by fasterthanlime on 2021-05-26 (UTC).

once again, https://t.co/hHl0PO5nuc pic.twitter.com/BMKZr7jXGF

— fasterthanlime 🌌 (@fasterthanlime) May 26, 2021
by MaxCRoser on 2021-05-25 (UTC).

Gallup asks people around the world whether they have someone to count on for help in times of trouble.

– The map shows the share that answered 'No'.
– The plot below shows the share that answered 'No' in relation to the average income in the country. pic.twitter.com/qTYZBCvd3L

— Max Roser (@MaxCRoser) May 25, 2021
datavizmisc
by huggingface on 2021-05-25 (UTC).

ICYDK, @Gradio is a very neat Python SDK to create simple demos around ML models.

In Gradio 2.0, you can wrap any huggingface model into a demo interface in 1 line of code 🔥

Read the tutorial from @abidlabs on our blog here ➡️ https://t.co/T5QBe9Znia pic.twitter.com/vHyc3b2ayf

— Hugging Face (@huggingface) May 25, 2021
tool
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